• Title/Summary/Keyword: Data order

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Implementation and Performance Analysis of Real-time Multi-source Sensor Data Management System Based on Wireless Sensor Network (무선 센서네트워크 기반 실시간 다중소스 센서데이터 관리시스템 구현 및 성능분석)

  • Kang, Moon-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.8B
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    • pp.1003-1011
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    • 2011
  • In this paper, a real-time multi-source sensor data management system based on wireless sensor network is proposed and implemented. The proposed management system is designed to transmit the wireless data to the server in order to monitor and control the multi-source target's status efficiently by analyzing them. The proposed system is implemented to make it possible to control and transmit the wireless sensor data by classifying them, of which data are issued from the clustered sources composed of a number of the remote multiple sensors. In order to evaluate the performance of the proposed system, we measure and analyze both the transmission delay time according to the distance and the data loss rate issued from multiple data sources. From these results, it is verified that the proposed system has a good performance.

Survival Strategies for Data Business in the Post-COVID Era (포스트 코로나 시대 데이터 비즈니스 생존전략)

  • Lee, Raehyung
    • Journal of Technology Innovation
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    • v.28 no.4
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    • pp.165-175
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    • 2020
  • In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.

Generation of contrast enhanced computed tomography image using deep learning network

  • Woo, Sang-Keun
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.41-47
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    • 2019
  • In this paper, we propose a application of conditional generative adversarial network (cGAN) for generation of contrast enhanced computed tomography (CT) image. Two types of CT data which were the enhanced and non-enhanced were used and applied by the histogram equalization for adjusting image intensities. In order to validate the generation of contrast enhanced CT data, the structural similarity index measurement (SSIM) was performed. Prepared generated contrast CT data were analyzed the statistical analysis using paired sample t-test. In order to apply the optimized algorithm for the lymph node cancer, they were calculated by short to long axis ratio (S/L) method. In the case of the model trained with CT data and their histogram equalized SSIM were $0.905{\pm}0.048$ and $0.908{\pm}0.047$. The tumor S/L of generated contrast enhanced CT data were validated similar to the ground truth when they were compared to scanned contrast enhanced CT data. It is expected that advantages of Generated contrast enhanced CT data based on deep learning are a cost-effective and less radiation exposure as well as further anatomical information with non-enhanced CT data.

Study on the Direction of Universal Big Data and Big Data Education-Based on the Survey of Big Data Experts (보편적 빅데이터와 빅데이터 교육의 방향성 연구 - 빅데이터 전문가의 인식 조사를 기반으로)

  • Park, Youn-Soo;Lee, Su-Jin
    • Journal of The Korean Association of Information Education
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    • v.24 no.2
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    • pp.201-214
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    • 2020
  • Big data is gradually expanding in diverse fields, with changing the data-related legislation. Moreover it would be interest in big data education. However, it requires a high level of knowledge and skills in order to utilize Big Data and it takes a long time for education spends a lot of money for training. We study that in order to define Universal Big Data used to the industrial field in a wide range. As a result, we make the paradigm for Big Data education for college students. We survey to the professional the Big Data definition and the Big Data perception. According to the survey, the Big Data related-professional recognize that is a wider definition than Computer Science Big Data is. Also they recognize that the Big Data Processing dose not be required Big Data Processing Frameworks or High Performance Computers. This means that in order to educate Big Data, it is necessary to focus on the analysis methods and application methods of Universal Big Data rather than computer science (Engineering) knowledge and skills. Based on the our research, we propose the Universal Big Data education on the new paradigm.

The Design of The Object object Data Operation Module using META Data Class (메타 데이터 클래스를 이용한 객체 지향 데이터 조작 모듈의 설계)

  • Kim, Jun-Mo
    • Journal of the Korea Computer Industry Society
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    • v.10 no.3
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    • pp.73-78
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    • 2009
  • This paper designed Object-orientid Meta_data operation module that introducted new Meta_class basis the Meta_Classfication model. In order to implement this Data model, we have introducted heurilistic class to traditional object-orinted database. And we designed Meta_data operation module for Inplemetated Meta_data that basis on the heurilistic classficasion model using stored Meta_data in extened object-oriend data model.

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Migration Strategies for Temporal Data based on Time-Segmented Storage Structure

  • Yun, Hongwon
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.329-332
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    • 2000
  • Research interests on temporal data have been almost focused on data models. There has been relatively less research in the area of temporal data management. In this paper, we propose two data migration strategies based on time-segmented storage structure: the migration strategy by Time Granularity, the migration strategy by LST-GET. We describe the criterion for data migration and moving process. We simulated the performance of the migration strategy by Time Granularity in order to compare it with non-segmentation method. We compared and analyzed two data migration strategies for temporal data.

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Food Sources of Vitamin A and Vitamin C (비타민 A와 비타민 C의 급원식품 선정)

  • 김영남
    • Journal of Korean Home Economics Education Association
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    • v.13 no.2
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    • pp.1-14
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    • 2001
  • The purpose of this study was to find out and advocate the intake of vitamin A and C rich foods in Korean people. Forty kinds of vitamin A and C rich foods were selected by the vitamin quantity in 100g edible portion. in single serving size. and by the 1997 national food supply data. The results were summarized as follows. 1. The vitamin A rich foods 1) The food sources of vitamin A presented in the middle and high school home economics textbooks were liver. egg/egg yolk. milk/dairy products. and green and yellow vegetables. etc. 2) The vitamin A rich foods by 100g edible portion ere in order of red pepper(dried). laver(dried). carrot. meat edible viscera. eel. etc. And the vitamin A rich foods by the vitamin A content in single serving size were in order of carrot. eel. meat edible viscera. water shield. red pepper(dried). etc. 3) The vitamin A suppling foods according to the 1997 national food supply data were in order of red pepper(dried). meat edible viscera. laver. carrot. etc. The green and yellow vegetables. fish and shellfish. and seaweeds were the most important sources of vitamin A in Korean. 2. The vitamin C rich foods 1) The food sources of vitamin C presented in the textbooks of middle and high school were strawberry. citrus fruits. and vegetables such as spinach. chinese cabbage. radish. crown daisy. etc. 2) The vitamin C rich foods on the basis of the vitamin C content in 100g edible portion were in order of sweet pepper. goose berry. citron. strawberry. water shield. etc. And the vitamin C rich foods by the quantity in single serving size were in order of strawberry. goose berry. citron. sweet pepper. lemon. etc. 3) The vitamin C suppling foods according to the 1997 national food supply data were in order of chinese cabbage. radish. citrus fruits. strawberry. etc. Not only vegetables and fruits but also seaweeds like dried laver and sea mustard were the most important source of vitamin C in korean.

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Kinetics of Cr(VI) Sorption/Reduction from Aqueous Solution on Activated Rice Husk

  • El-Shafey, E.I.;Youssef, A.M.
    • Carbon letters
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    • v.7 no.3
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    • pp.171-179
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    • 2006
  • A carbonaceous sorbent was prepared from rice husk via sulphuric acid treatment. After preparation and washing, the wet carbon with moisture content 85% was used in its wet status in this study due to its higher reactivity towards Cr(VI) than the dry carbon. The interaction of Cr(VI) and the carbon was studied and two processes were investigated in terms of kinetics and equilibrium namely Cr(VI) removal and chromium sorption. Cr(VI) removal and chromium sorption were studied at various initial pH (1.6-7), for initial Cr(VI) concentration (100 mg/l). At equilibrium, maximum Cr(VI) removal occurred at low initial pH (1.6-2) where, Cr(III) was the only available chromium species in solution. Cr(VI) removal, at such low pH, was related to the reduction to Cr(III). Maximum chromium sorption (60.5 mg/g) occurred at initial pH 2.8 and a rise in the final pH was recorded for all initial pH studied. For the kinetic experiments, approximate equilibrium was reached in 60-100 hr. Cr(VI) removal data, at initial pH 1.6-2.4, fit well pseudo first order model but did not fit pseudo second order model. At initial pH 2.6-7, Cr(VI) removal data did not fit, anymore, pseudo first order model, but fit well pseudo second order model instead. The change in the order of Cr(VI) removal process takes place in the pH range 2.4-2.6 under the experimental conditions. Other two models were tested for the kinetics of chromium sorption with the data fitting well pseudo second order model in the whole range of pH. An increase in cation exchange capacity, sorbent acidity and base neutralization capacity was recorded for the carbon sorbent after the interaction with acidified Cr(VI) indicating the oxidation processes on the carbon surface accompanying Cr(VI) reduction.

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Verification of the feasibility of higher-order modulation for long-range communication in deep water (심해 장거리 통신에서의 고차 변조 기법의 활용 가능성 검증)

  • Kim, Donghyeon;Kim, J.S.;Hahn, Joo Young
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.5
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    • pp.428-438
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    • 2021
  • For long-range communication in deep water, low carrier frequency is efficient due to a decrease in transmission loss. However, there is a limitation in that the data rate decreases due to a narrow bandwith. In order to increase the data rate in an environment with a limited bandwidth, it is necessary to design a higher-order modulation scheme. This paper analyzes the long-range communication data modulated by higher-order modulation schemes. The long-range communication experiment (23 km ~) was conducted in East Sea in October 2020. During the experiment, a vertical line array was utilized and communication sequences were modulated by Phase Shift Keying (PSK) and Quadrature Amplitude Modulation (QAM) schemes and transmitted by a towed source. In more detail, PSK modulation consists of quadrature PSK and 8PSK, QAM modulation consists of 8QAM and 16QAM. Time reversal processing is applied to mitigate inter-symbol interference by utilizing the correlation between received signals and channel impulse responses. All modulation schemes show successful results at 23 km range, demonstrating the feasibility of higher-order modulation in long-range communication.

Factors Related to the Satisfaction of User for the Order Communication System (처방전달시스템(Order Communication System) 사용자의 직무만족도에 영향을 미치는 요인)

  • Cho, Seang-Sig;Jang, Sook-Jin;Moon, Dae-Soo;Cheun, Jai-Woo;Park, Young-Jin
    • Korean Journal of Clinical Laboratory Science
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    • v.37 no.2
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    • pp.102-110
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    • 2005
  • The purpose of this study was to examine the factors related to satisfaction of users for the order communication system (OCS). The subjects of this study were 98 clerks at Chosun university hospital. The instruments used for this study were the conveniency and the practical application of the data developed by Lee, the satisfaction level developed by Sea Seang-mi and Kim in-sook. The data was analyzed by using the t-test, ANOVA, Pearson Correlation, Stepwise Multiple Regression with SPSS 10.0 program. The mean scores of the conveniency, the practical application of the data and the satisfaction level of user for the OCS was 3.28, 3.29 and 3.34, respectively. In general characteristics of the respondents, influencing factors to the perceived the conveniency of user for the OCS were gender, career and department. In general characteristics of the respondents, influencing factors to the perceived the practical application of the data of user for the OCS were department. In general, characteristics of the respondents, influencing factors to the perceived the satisfaction level of user for the OCS were gender, career and department. The correlation between the satisfaction level and the practical application of the data were statistically significant. The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data (90.3%). In conclusion, The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data. Therefore, it is recommended that guidebooks of user for the OCS or various OCS programs to promote the satisfaction level of user for the OCS and to improve the satisfaction level of user for the OCS should be developed.

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